romsson/.block

## .block
license: mit

## README.md

      
    Raw
  

              README.md
            
          
    Built with blockbuilder.org
forked from romsson's block: Grouped bar chart v4
forked from romsson's block: Grouped bar chart
forked from romsson's block: Grouped bar chart

  
## index.html
<!DOCTYPE html>
<meta charset="utf-8">
<style>

.axis text {
  font: 10px sans-serif;
}

.axis path,
.axis line {
  fill: none;
  stroke: #000;
  shape-rendering: crispEdges;
}


</style>
<body>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script>

// Source: https://bl.ocks.org/mbostock/3887051
var margin = {top: 20, right: 30, bottom: 30, left: 40},
    width = 600 - margin.left - margin.right,
    height = 400 - margin.top - margin.bottom;

var y = d3.scaleLinear()
    .range([height, margin.bottom]);

var x0 = d3.scaleBand()
    .range([0, width], .2);

var x1 = d3.scaleBand();

var z = d3.scaleOrdinal(d3.schemeCategory20)

var svg = d3.select("body").append("svg")
    .attr("width", width + margin.left + margin.right)
    .attr("height", height + margin.top + margin.bottom)
  .append("g")
    .attr("transform", "translate(" + margin.left + "," + margin.top + ")");

  // Date format https://bl.ocks.org/zanarmstrong/ca0adb7e426c12c06a95
  var parseTime  = d3.timeParse("%b %Y")

  // Load stocks data
  // Ex: 0: {symbol: "MSFT", date: "Jan 2000", price: "39.81"}
  d3.csv('https://raw.githubusercontent.com/LyonDataViz/MOS5.5-Dataviz/master/data/stocks.csv', function(error, raw) {

    var symbols = [];
    var data = []

    // Data pre-processing
    raw.forEach(function(d, i) {

      if(symbols.indexOf(d.symbol) < 0) {
        symbols.push(d.symbol)
        data[symbols.indexOf(d.symbol)] = [];
      }

      // String to INT
      d.value = +d.price;

      // Parsing time
      d.date = parseTime(d.date)
      data[symbols.indexOf(d.symbol)].push(d);
    });


    var data_nest = d3.nest()
    	.key(function(d) { return d.date.getFullYear(); })
    	.key(function(d) { return d.symbol; })
    	.rollup(function(v) { return d3.sum(v, function(d) { return d.price; }); })
			.entries(raw);

    var years = data_nest.map(function(d) { return d.key; })

    x0.domain(years)
    x1.domain(symbols).range([0, x0.bandwidth() - 10]);
		y.domain([0, d3.max(data_nest, function(d) {
      return d3.max(d.values, function(e) {
        return e.value
      });
    })]);

    svg.append("g").selectAll("g")
        .data(data_nest)
      .enter()
      	.append("g")
        .attr("transform", function(d, i) {
      		return "translate(" + x0(d.key) + ", 0)";
    		})
	      .selectAll("rect")
        .data(function(d) { return d.values; })
      .enter()
      	.append("rect")
        .style("fill", function(d, i) { return z(d.key); })
        .attr("width", x1.bandwidth())
        .attr("height", function(d) { return height - y(d.value); })
        .attr("x", function(d, i) { return x1(d.key); })
        .attr("y", function(d) {return y(d.value); });

    svg.append("g")
      .attr("class", "x axis")
      .attr("transform", "translate(0," + height + ")")
      .call(d3.axisBottom(x0))

    svg.append("g")
      .attr("class", "y axis")
      .attr("transform", "translate(" + (0) + ", 0)")
      .call(d3.axisLeft().scale(y))

    });

</script>
	<!DOCTYPE html>
	<meta charset="utf-8">
	<style>

	.axis text {
	font: 10px sans-serif;
	}

	.axis path,
	.axis line {
	fill: none;
	stroke: #000;
	shape-rendering: crispEdges;
	}


	</style>
	<body>
	<script src="https://d3js.org/d3.v4.min.js"></script>
	<script>

	// Source: https://bl.ocks.org/mbostock/3887051
	var margin = {top: 20, right: 30, bottom: 30, left: 40},
	width = 600 - margin.left - margin.right,
	height = 400 - margin.top - margin.bottom;

	var y = d3.scaleLinear()
	.range([height, margin.bottom]);

	var x0 = d3.scaleBand()
	.range([0, width], .2);

	var x1 = d3.scaleBand();

	var z = d3.scaleOrdinal(d3.schemeCategory20)

	var svg = d3.select("body").append("svg")
	.attr("width", width + margin.left + margin.right)
	.attr("height", height + margin.top + margin.bottom)
	.append("g")
	.attr("transform", "translate(" + margin.left + "," + margin.top + ")");

	// Date format https://bl.ocks.org/zanarmstrong/ca0adb7e426c12c06a95
	var parseTime = d3.timeParse("%b %Y")

	// Load stocks data
	// Ex: 0: {symbol: "MSFT", date: "Jan 2000", price: "39.81"}
	d3.csv('https://raw.githubusercontent.com/LyonDataViz/MOS5.5-Dataviz/master/data/stocks.csv', function(error, raw) {

	var symbols = [];
	var data = []

	// Data pre-processing
	raw.forEach(function(d, i) {

	if(symbols.indexOf(d.symbol) < 0) {
	symbols.push(d.symbol)
	data[symbols.indexOf(d.symbol)] = [];
	}

	// String to INT
	d.value = +d.price;

	// Parsing time
	d.date = parseTime(d.date)
	data[symbols.indexOf(d.symbol)].push(d);
	});


	var data_nest = d3.nest()
	.key(function(d) { return d.date.getFullYear(); })
	.key(function(d) { return d.symbol; })
	.rollup(function(v) { return d3.sum(v, function(d) { return d.price; }); })
	.entries(raw);

	var years = data_nest.map(function(d) { return d.key; })

	x0.domain(years)
	x1.domain(symbols).range([0, x0.bandwidth() - 10]);
	y.domain([0, d3.max(data_nest, function(d) {
	return d3.max(d.values, function(e) {
	return e.value
	});
	})]);

	svg.append("g").selectAll("g")
	.data(data_nest)
	.enter()
	.append("g")
	.attr("transform", function(d, i) {
	return "translate(" + x0(d.key) + ", 0)";
	})
	.selectAll("rect")
	.data(function(d) { return d.values; })
	.enter()
	.append("rect")
	.style("fill", function(d, i) { return z(d.key); })
	.attr("width", x1.bandwidth())
	.attr("height", function(d) { return height - y(d.value); })
	.attr("x", function(d, i) { return x1(d.key); })
	.attr("y", function(d) {return y(d.value); });

	svg.append("g")
	.attr("class", "x axis")
	.attr("transform", "translate(0," + height + ")")
	.call(d3.axisBottom(x0))

	svg.append("g")
	.attr("class", "y axis")
	.attr("transform", "translate(" + (0) + ", 0)")
	.call(d3.axisLeft().scale(y))

	});

	</script>